Ruihui Zhao received his B.S. degree at UESTC (2015) and M.S. degree at Waseda University (早稻田大学, 2017). He joined Tencent Jarvis Lab as a senior researcher in early 2018. Previously, he was an NLP engineer at Sinovation Ventures (2017 - 2018). He has several papers accepted by ACL, WWW, AAAI, NAACL, IJCNN, TOIT, IEEE WCSP, etc. His research and projects mainly focus on NLP and information security.
We are looking for FTE & Research interns who are interested in Healthcare AI. Please send your CV to me if you want to join us.
Research Interests
Natural Language Processing: Medical Pre-training Language Modeling, Knowledge Distillation, Text Matching, Taxonomy Construction and Expansion, Question Generation and Answering, etc.
Machine Learning Techniques: Time Series Anomaly Detection, Community Detection, Graph Embeddings, Model Interpretability, etc.
Information Security: Federated Learning, Searchable Encryption
Projects
Applying NLP and machine learning techniques to the fields of healthcare and security:
Lead a medical insurance recommendation project and 5 full-time research engineers;
Lead a medical insurance anti-fraud project and 5 full-time research engineers, including techniques such as gang detection, time series anomaly detection, graph embeddings, model interpretability, federated learning, etc.
Lead a Covid-19 vaccine question answering system (project sponsor);
Owned a medical QA and search ranking system which supported Tencent Healthcare;
Owned a federated machine learning project, cooperated with Webank AI team;
Owned a medical entity recommendation project based on NER, intent detection and medical ontology, cooperated with Tencent Wechat search team;
Owned a project which applied explainable anomaly detection algorithms on sequential security data, cooperated with Tencent Security team;
Owned a Language Model toolkit, cooperated with Tencent PCG Venus platform;
Participated in an intelligent aided diagnosis system.
